Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
working conditions in dynamic and international research environment. About Globe Institute The Globe Institute is part of the Faculty of Health and Medical Sciences at the University of Copenhagen
-
systems, and husbandry practices. This Ph.D. position aims to gain new knowledge on fish microbiome-health & welfare dynamics, the development, stability, and resilience of microbiomes and performance and
-
of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior scientists aimed at excellent science
-
, at the DTU department of Applied Mathematics and Computer Science, section for Dynamical Systems. Furthermore, this is an Alliance PhD position, where you will have the privilege to benefit from two
-
dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
-
committed to producing outstanding research with the highest academic and social impact, offering excellent research conditions. The division hosts a dynamic community of PhD students and actively supports
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban
-
projects partners. This requires good communications skills but also allows you to co-operate with leading European research institutes. Responsibilities and qualifications You will be part of a dynamic work
-
renowned research group for Gut, Microbes, and Health at the National Food institute, Technical University of Denmark (DTU). We offer a dynamic and sociable research environment with exiting challenges and
-
holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement